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Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
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KAIA Research Series An Introduction to Geometric Context Modeling

Authors: Bare, Tiffney;

KAIA Research Series An Introduction to Geometric Context Modeling

Abstract

This document introduces the KAIA Research Series and provides an overview of the five papers that establish Geometric Context Modeling as a new field of artificial intelligence. It is intended for readers encountering this work for the first time, whether from research, industry, policy, or education backgrounds. The series was produced entirely through independent research conducted between April and May 2026, across 27 experiments, without institutional support, a research budget, or GPU hardware. It was conducted on standard consumer CPU hardware, which is itself a demonstration of the core claim: serious AI research does not require the resources that most people do not have.

Keywords

word embeddings, Artificial intelligence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/ethics, semantic reasoning, Natural language processing, CPU-native AI, Artificial Intelligence/standards, agent architecture, AI equity, Artificial Intelligence, Artificial Intelligence/trends, geometric context modeling, Natural Language Processing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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